Engineering Manager - Relationships

We’re looking for a collaborative and experienced Engineering Manager, Relationships to join our team and help us develop best-in-class features and tools for our customers.

As our Engineering Manager, Relationships, you will lead a team of engineers that develop the Muck Rack application across the whole tech stack, and are responsible for all the features and tools that are part of the Relationships domain of the application. This is a great opportunity for someone who is excited about providing innovative solutions for our users' needs, mentoring a talented team, and shaping the future of Muck Rack products.

What you’ll do:

• Lead, mentor, and grow a high-performing team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement

• Own the technical strategy around key features and tools, and lead execution at a high level

• Work closely with product and design partners to plan and commit to feature scopes, timelines, and overall road maps

• Collaborate with other engineering teams to manage dependencies and other cross-functional projects

• Incorporate emerging AI technologies within feature development and internal engineering experience and processes

How success will be measured in this role:

• Project-Level Outcomes: Successful execution and delivery of projects or initiatives that support company level objectives

• Team Growth and Health: Successfully hiring, developing, and retaining top engineering talent, as measured by team engagement and performance

• Engineering and Company OKRs: Successfully contributing to the definition of and delivery of both company level and engineering level goals and objectives

 If the details below describe you, you could be a great fit for this role:

• 3+ year of engineering management experience

• 5+ years software engineering experience 

• Proficiency with Python, JavaScript, Vue, Django or similar languages and frameworks

• Experience with observability platforms (e.g., Datadog, Prometheus, Grafana)

• Experience with AI tools and technologies (e.g., ChatGPT, Gemini, Claude)

• Familiarity with database and search engine technologies (e.g., MySQL, Clickhouse, ElasticSearch)

• Strong skills in communication, adaptability, cross-functional collaboration, and strategic thinking

Interview Overview: 

Here’s what you can expect from our process. We’ll keep you informed at every step and let you know if anything changes along the way.

• Intro call with a member of our Talent Team

• A video interview with the Hiring Manager

• Peer interviews with future teammates

• Final call(s) with executive team member(s) 

Salary:

In the US, the base salary for this role is between $152,000 and $180,000, depending on skills and experience. Total compensation for this role consists of base salary, a quarterly bonus plan, and equity. 

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.